Project Investment Justification

Version 01.01

A Statewide Standard Document for Information Technology Projects

Agency Name: AHCCCS

Date: April 25, 2014

Agency Contact Name: Joanne Obenour

Agency Contact Phone:

Agency Contact Email:

Hover for Instructions

Project Title:

AHCCCS Data Quality Tools PIJ

PIJ Form 2013-10-02 Page 2 of 11

I. Management Summary*

The agency’s vision is to transform the existing Data Warehouse and Decision Support System

(DW/DSS) into a mature Information Infrastructure (II) that seamlessly integrates disparate data

to facilitate emerging requirements of current and future information needs such as those for

the Health Information Technology for Economic and Clinical Health (HITECH) Act, Patient

Protection and Affordable Care Act (PP&ACA), International Classification of Diseases Version

10 (ICD-10), Health Information Exchange (HIE), Health Insurance Exchange (HIX), and Quality

Measures.

The DWDSS, implemented in 2005, introduced the agency to a common repository of Medicaid

data for analysis and reporting. This was a major step in addressing the need for usable,

accessible, flexible, and timely information through a user-friendly interface. The data

structure was consistent with that of the MMIS with few changes or transformations. While

this solution allowed non-programmer access to the data, it also required expert understanding

of the data and business rules to produce meaningful results. In the end, the business users

were able to create and run simple queries leaving the more complex queries to the

programmers as before.

By 2009 the DW/DSS had been transitioned from Business Objects to COGNOS and expanded to

incorporate Hawaii data. This step strengthened the security of the data, provided geographic

redundancy, and enabled remote access which allowed more staff to work from home and

become part of the Virtual Office and Telework program. The data structure was not changed.

With limited training in COGNOS, the business users continued to pass the complex queries to

the programmers.

More recently in 2012, as part of the HIPAA 5010 implementation, the claims and encounter

data was remodeled through the use of an Extract Transform and Load (ETL) tool made

available through the MACBIS project. The other data in the DW/DSS is currently going through

the same transition. Implementing an ETL tool provides for a common set of business data

rules, formats, and values to be established that can be applied across all of the enterprise data,

and new agency-level data fields can be defined for consistent application of the data; this

eliminates redundant data definition and adds consistency to commonly used terms.

While all of these changes and enhancements were being implemented, the DW/DSS was

increasingly becoming a more critical tool and source of the essential program data used to

manage the Medicaid programs. Business and IT personnel increasingly rely on these tools to

provide ad-hoc, day-to-day, periodic as well as state/federally mandated reporting.

During 2013, members of the Data Warehouse development and operational team, Data Warehouse

super users, and several consultants with expertise in enterprise data analytics and systems including

PIJ Form 2013-10-02 Page 6 of 11

implement tools to identify discrepant address data and facilitate the integrity of future data across the AHCCCS Data Warehouse.

B. Proposed Business Solution* AHCCCS proposes to implement data quality tools to the Data Warehouse that will identify discrepancies in address data as it is being loaded in the Data Warehouse, and will add a geographic locator for each address. Any data discrepancies will be reported to the data owners for correction. The solution consists of the following:

Informatica Data Quality (IDQ) – provides the capabilities needed to discover, search, profile, standardize, build rules, deploy rules, create scorecards, manage exceptions and more.

IDQ Accelerator – pre-built functionality to address common data quality issues.

Data Quality Identity Match – component of geo coding

Lab – interface to IDQ

Standard Year 1 Maintenance of software value

United States Premium Address Cleansing — component of geo coding

United States Point Premium Geo Coding – component of geo coding

Server – an additional server is needed for the data quality tools

Consultant Services – consultant expertise will be needed to plan and implement the Data Quality tools

C. Quantified Benefits*

x Service enhancement

Increased revenue Cost reduction Problem avoidance Risk avoidance

Explain:

The Data Quality tools will provide the ability to proactively monitor and cleanse source data across the enterprise and promote collaboration between business and IT. The solution enables Geo-coding/Geo-mapping capabilities that can provide comprehensive reports and maps to represent network sufficiency and accessibility. Other uses of these tools include the enhanced ability to identify provider and member activity by

geo-location, disaster response capability, and fraud detection capabilities. The agency’s acute care contracts require that health plans have contracted providers within a certain geographic distance from each of their members, but without valid addresses in consistent format the agency cannot easily monitor contract compliance with this regard. These tools will enable the agency to more adequately monitor compliance and improve confidence in the data.

PIJ Form 2013-10-02 Page 8 of 11

C. Selection Process Approach was to work with members of the Data Warehouse development and operational team, Data

Warehouse super users, and several consultants with expertise in enterprise data analytics and systems

including representatives from the existing system vendor to identify the needs and issues and

recommend solutions that would leverage the existing hardware and software.

V. Project Approach

A. Project Schedule*

Project Start Date: 4/1/2014 Project End Date: 9/30/2014

B. Project Milestones

Major Milestones Start Date Finish Date

Acquisition 4/1/2014 5/1/2014

Installation for Testing 5/1/2014 6/1/2014

Component Testing 5/1/2014 6/1/2014

System Testing 5/1/2014 6/1/2014

Implementation 6/1/2014 6/30/2014

Post Implementation Support 7/1/2014 9/30/2014

VI. Roles and Responsibilities

A. Project Roles and Responsibilities The Business Intelligence Team will work together to test and implement these products.

B. Project Manager Certification

Project Management Professional (PMP) Certified State of Arizona Certified

x Project Management Certification not required

C. Full-Time Employee (FTE) Project Hours

Total Full-Time Employee Hours 500

Total Full-Time Employee Cost $25,000

VII. Risk Matrix, Areas of Impact, Itemized List, PIJ Financials

PIJ Form 2013-10-02 Page 9 of 11

PIJ Form 2013-10-02 Page 10 of 11

VIII. Project Approvals

A. Agency CIO Review*

Key Management Information Yes No

1. Is this project for a mission-critical application system? X

2. Is this project referenced in your agency’s Strategic IT Plan? X

3. Is this project in compliance with all agency and State standards and policies for

network, security, platform, software/application, and/or data/information as defined

in http://aset.azdoa.gov/security/policies-standards-and-procedures, and applicable to

this project? If NO, explain in detail in the “XI. Additional Information” section below.

X

4. Will this project transmit, store, or process sensitive, confidential or Personally

Identifiable Information (PII) data? If YES, in the “XI. Additional Information” section

below, describe what security controls are being put in place to protect the data.

X

5. Is this project in compliance with the Arizona Revised Statutes (A.R.S.) and GRRC

rules? X

6. Is this project in compliance with the statewide policy regarding the accessibility to

equipment and information technology for citizens with disabilities? X

B. Project Values*

The following table should be populated with summary information from other sections of the PIJ.

Description Section Number or Cost

Assessment Cost

(if applicable for Pre-PIJ)

II. PIJ Type - Pre-PIJ

Assessment Cost $

Total Development Cost VII. PIJ Financials tab $477,660.93

Total Project Cost VII. PIJ Financials tab $870,168.93

FTE Hours VI. Roles and Responsibilities 1000

C. Agency Approvals*

Contact Printed Name Signature Email and Phone

Project Manager: Craig Srsen

Agency Information

Security Officer: Jim Wang

Agency CIO: Jim Wang

Project Sponsor: Jim Wang

Agency Director: Tom Betlach

PIJ Form 2013-10-02 Page 11 of 11

IX. Optional Attachments

A. Vendor Quotes

X. Glossary

XI. Additional Information The AHCCCS Data Warehouse uses role-based security so that participants can only access what they need to perform their job functions. Links:

ADOA-ASET Website

ADOA-ASET Project Investment Justification Information Templates and Contacts

Email Addresses:

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ADOA-ASET Webmaster@azdoa.gov